Triple
T13285936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamir Jones |
E316443
|
entity |
| Predicate | NFLStatus |
P109318
|
FINISHED |
| Object | linebacker |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: linebacker | Statement: [Jamir Jones, NFLStatus, linebacker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NFLStatus Context triple: [Jamir Jones, NFLStatus, linebacker]
-
A.
nflTeamState
Indicates the U.S. state in which an NFL team is based or associated.
-
B.
nflRecord
Indicates the win-loss-tie performance record a team or individual has accumulated in NFL competition.
-
C.
NFLTeam
Indicates a relationship where an entity is identified as a professional American football team that competes in the National Football League.
-
D.
NFLChampion
Indicates that an entity is the team that won the National Football League (NFL) championship for a given season or year.
-
E.
SuperBowlChampionAsPlayerWith
Indicates that one entity was a Super Bowl champion as a player in association with the other entity (such as a team, season, or organization).
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:27 p.m.